← BioTransfer GEO Dataset Finder
GEO series

The Dual Immunoregulatory Role of Creb3l1 Underlying Latent and Severe Tuberculosis Clinical Manifestation

GSE299836 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/03/11 Platform GPL10010
At a glance

RNA-seq (gene expression) · mouse · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
12 samples: 3 × Liver tissue, Mtb-infected Balb/c, 14 days, sample vs 3 × Liver tissue, Mtb-infected Balb/c, 19 days, sample vs 3 × Lung tissue, Mtb-infected Balb/c, 14 days, sample vs 3 × Lung tissue, Mtb-infected Balb/c, 19 days, sampleGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
The Dual Immunoregulatory Role of CREB3L1 Underlying Latent and Severe Tuberculosis Clinical ManifestationImmunology · 2026
Summary (written by the submitters)
During tuberculosis (TB), organ-specific immune responses and intracellular pathways play critical roles in disease progression and prognosis. Identifying genes that regulate these immune mechanisms remains a key challenge in improving TB management strategies. To investigate genes potentially associated with enhanced resistance to TB and the modulation of immune responses, we analyzed RNA-seq data from whole cells isolated from the lungs and livers of mice infected with Mycobacterium tuberculosis (Mtb).
Read the full summary ↓
We hypothesized that these two organs mount distinct responses to infection, supported by differences in the immune response and bacterial burden kinetics observed in each tissue. Our analysis revealed differential gene expression profiles between the lungs and livers, primarily involving metabolic and immune-related pathways. Through meta-analysis, we identified orthologous genes shared between Mtb infected mice and human patients with latent pulmonary TB. In this omics analysis, the four genes, Creb3l1, Myo7b, Cyyr1, and Cbs, were differentially expressed and associated with either resistance or susceptibility. In vitro assays further demonstrated that knockdown of Creb3l1 in Mtb infected monocytes impaired key effector functions, including phagocytosis, bacterial killing, and apoptosis. These findings suggest that Creb3l1 contributes to bacterial containment in the lungs and may play a protective role during infection. Notably, Creb3l1 expression was also elevated in the peripheral blood of patients with severe TB, and correlated with increased levels of pro-inflammatory cytokines such as IL-17, IL-2, and IFN-γ. This pattern points to a potential dual role for Creb3l1 in TB. Under controlled conditions, such as latent infection, it may help regulate pulmonary inflammation, whereas during active disease, the expression is elevated in circulating leukocytes and associated with heightened cytokine production, which may reflect an immune attempt to counteract progressive infection.
Published in
The Dual Immunoregulatory Role of CREB3L1 Underlying Latent and Severe Tuberculosis Clinical Manifestation
Lima FT, Castro RC, Javier FR et al. · Immunology 2026 · PMID 41388607 · doi:10.1111/imm.70081
This dataset
Open GSE299836 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE299836_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1276605 and SRA study SRP592023. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41388607) ↗
Study design
3 × Liver tissue, Mtb-infected Balb/c, 14 days, sample vs 3 × Liver tissue, Mtb-infected Balb/c, 19 days, sample vs 3 × Lung tissue, Mtb-infected Balb/c, 14 days, sample vs 3 × Lung tissue, Mtb-infected Balb/c, 19 days, sample

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.